Evidence map›Paper›PMID 29509590›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2018

Time to First-Line ART Failure and Time to Second-Line ART Switch in the IeDEA Pediatric Cohort.

Kara Wools-Kaloustian, Irene Marete, Samuel Ayaya, Annette H Sohn, Lam Van Nguyen, Shanshan Li, Valériane Leroy, Beverly S Musick, Jamie E Newman, Andrew Edmonds and 7 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Using Observational Data to Inform HIV Policy Change for Children and Youth.Journal of acquired immune deficiency syndromes (1999) · 2018
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Kara Wools-KaloustianDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Irene MareteDeptartment of Child Health and Pediatrics, School of Medicine, Moi University, Eldoret, Kenya.
Samuel AyayaDeptartment of Child Health and Pediatrics, School of Medicine, Moi University, Eldoret, Kenya.
Annette H SohnTREAT Asia/amfAR-The Foundation for AIDS Research, Bangkok, Thailand.
Lam Van NguyenDepartment of Infectious Diseases, National Hospital of Pediatrics, Hanoi, Vietnam.
Shanshan LiDepartment of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN.
Valériane Leroy
Beverly S MusickDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, IN.
Jamie E NewmanInserm U1027, Toulouse 3 University, Toulouse, FranceRTI International, Public Health Informatics Program, Research Triangle Park, NC.
Andrew EdmondsDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC.
Mary-Ann Davies
François T EbouaDepartment of Pediatrics, Centre Hospitalier Universitaire de Yopougon, Abidjan, Côte d'Ivoire.
Marie-Thérèse ObamaDépartement de pédiatrie, Centre Hospitalier et Universitaire, Yaoundé, Cameroon.
Marcel YotebiengDivision of Epidemiology, College of Public Health, Ohio State University, Columbus, OH.
Shobna SawryWits Reproductive Health and HIV Institute, University of the Witwatersrand, School of Clinical Medicine, Johannesburg, South Africa.
Lynne M MofensonElizabeth Glaser Pediatric AIDS Foundation, Washington DC.
Constantin T YiannoutsosDepartment of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN.

Funding

East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
WADA (West Africa Database on Antiretroviral Therapy) CollaborationU01AI069919 · NIAID · UNIVERSITY OF BORDEAUX II · PI Didier Koumavi Ekouevi, Antoine Jaquet · 2006 to 2026
$29.9M
International Epi Databases to Evaluate AIDS (IEDEA) in central Africa (Region 9)U01AI069927 · NIAID · RESEARCH TRIANGLE INSTITUTE · PI HEMINGWAY-FODAY, JENNIFER · 2006 to 2010
$6.8M
NIAID NIH HHS U01 AI069907NIAID NIH HHS U01 AI069911NIAID NIH HHS U01 AI069919NIAID NIH HHS U01 AI069924NIAID NIH HHS U01 AI069927NIAID NIH HHS U01 AI096299
6 · The paper itself

Abstract

backgroundGlobally, 49% of the estimated 1.8 million children living with HIV are accessing antiretroviral therapy (ART). There are limited data concerning long-term durability of first-line ART regimens and time to transition to second-line.

methodsChildren initiating their first ART regimen between 2 and 14 years of age and enrolled in one of 208 sites in 30 Asia-Pacific and African countries participating in the Pediatric International Epidemiology Databases to Evaluate AIDS consortium were included in this analysis. Outcomes of interest were: first-line ART failure (clinical, immunologic, or virologic), change to second-line, and attrition (death or loss to program ). Cumulative incidence was computed for first-line failure and second-line initiation, with attrition as a competing event.

resultsIn 27,031 children, median age at ART initiation was 6.7 years. Median baseline CD4% for children ≤5 years of age was 13.2% and CD4 count for those >5 years was 258 cells per microliter. Almost all (94.4%) initiated a nonnucleoside reverse transcriptase inhibitor; 5.3% a protease inhibitor, and 0.3% a triple nucleoside reverse transcriptase inhibitor-based regimen. At 1 year, 7.7% had failed and 14.4% had experienced attrition; by 5 years, the cumulative incidence was 25.9% and 29.4%, respectively. At 1 year after ART failure, 13.7% had transitioned to second-line and 11.2% had experienced attrition; by 5 years, the cumulative incidence was 31.6% and 25.9%, respectively.

conclusionsHigh rates of first-line failure and attrition were identified in children within 5 years after ART initiation. Of children meeting failure criteria, only one-third were transitioned to second-line ART within 5 years.

Indexed as

AfricaAnti-HIV AgentsAsiaCD4 Lymphocyte CountChildChild, PreschoolDisease ProgressionDrug Administration ScheduleFemaleHIV InfectionsHumansIncidenceMaleRetrospective StudiesReverse Transcriptase InhibitorsTime FactorsAnti-HIV AgentsReverse Transcriptase Inhibitors

Identifiers

PMID29509590
PMCPMC5953797

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.